Despite its status as a nature reserve, Wolong Nature Reserve (China) has experienced continued loss of giant panda habitat due to human activities such as fuelwood collection. Electricity, though available throughout Wolong, has not replaced fuelwood as an energy source. We used stated preference data obtained from in-person interviews to estimate a random utility model of the choice of adopti...

We consider interruptible electricity contracts issued by a distributor of electricity, that allow for interruptions to electric service in exchange for either an overall reduction in the price of electricity delivered, or for financial compensation at the time of interruption. We provide an equilibrium model to determine electricity prices, based on stochastic models of supply and demand. In t...

a r t i c l e i n f o Keywords: Electricity spot price Spikes Markov regime-switching Heteroscedasticity Inverse leverage effect One of the most profound features of electricity spot prices are the price spikes. Markov regime-switching (MRS) models seem to be a natural candidate for modeling this spiky behavior. However, in the studies published so far, the goodness-of-fit of the proposed model...

nowadays, factor of energy besides other factors such as labor and capital plays an important role in agricultural production. energy is used as a factor for agricultural machines and instruments. important discussion about this subject is the reaction rate of energy demand to price variations of energy and other factors. so, this study estimates the functions of energy demand in agricultural s...

Day-ahead forecasting of electricity prices is important in deregulated electricity markets for all the stakeholders: energy wholesalers, traders, retailers, and consumers. Electricity price forecasting is an inherently difficult problem due to its special characteristic of dynamicity and non-stationarity. In this paper, we present a robust price forecasting mechanism that shows resilience towa...

Understanding how consumers respond to electricity prices is essential for predicting the effects of climate change policy and other policies that target electricity markets. To date, studies of long-run electricity demand have relied on price changes that are transient or endogenous, and none have utilized experimental or quasi-experimental variation. We study the dynamics of residential elect...

This paper investigates the ability of the largest producer in an electricity market to manipulate both the electricity and emission allowances markets to its advantage. A Stackelberg game to analyze this situation is constructed in which the largest firm plays the role of the leader, while the medium-sized firms are treated as Cournot followers with price-taking fringes that behave competitive...

This paper presents an artificial neural network, ANN, based approach for estimating short-term wholesale electricity prices using past price and demand data. The objective is to utilize the piecewise continuous nature of electricity prices on the time domain by clustering the input data into time ranges where the variation trends are maintained. Due to the imprecise nature of cluster boundarie...

The introduction of competition in the electricity sector around the globe is aimed at improving efficiency in production, transmission and distribution of electrical energy. Privatization and deregulation in this sector are also intended to attract players and investments in the markets as well as to ensure competitive electricity price. This paper presents the use of an agent-based simulation...